András London

hu (hallgatóknak) en (research)

assistant professor University of Szeged Institute of Informatics, Department of Computational Optimization

Dissertation and thesis booklet are avalable at the SZTE repository of dissertations. PhD Supervisor: András Pluhár

Habilitation thesis

Personal

Education: PhD in Computer science [Operations research] (Univ. Szeged, 2018)
MSc in Applied mathematics [Financial mathematics spec] (Univ. Szeged, 2012)
Contact: Árpád tér 2., floor I, room 55
Tel: +36-70-945-2648
E-mail: london[at]inf.u-szeged.hu

Research interest

- graph based algorithms and their applications
- complex networks (including economic, ecological, transportation networks and artificial network models of complex systems)
- probabilistic methods in graph theory
- graph models in NLP (topic modelling, taxonomies, knowledge graphs)
- mathematical modelling

Publications

Journal papers

A. London: Edge partitions into induced-2K2-free bipartite graphs Ars Combinatorica, 166, 15-26, 2026
A. London: Notes on discrepancy and anti-discrepancy in oriented graphs. Discere Applied Mathematics, 380, 283-289, 2026
L. Gyorffy ; A. London ; G. V. Nagy ; A. Pluhár: Partitions of Graphs into Special Bipartite Graphs Discrete Mathematics and Theoretical Computer Science 27(3), 2025
I. Gera and A. London: Recovering Nested Structures in Networks: An Evaluation of Hierarchical Clustering Techniques Journal of Complex Networks 12(5), cnae039, 2024
A. London and A. Pluhár: Intersection of random spanning trees in complex networks Applied Network Science 8, 72, 2023
I. Gera and A. London: Detecting and generating overlapping nested communities Applied Network Science 8, 51, 2023
P.J. Ochieng, A. London, M. Krész: A forward-looking approach to compare ranking methods for sports Information, special issue on Predictive Analytics and Data Science 13(5), 232, 2022
A. London, R. R. Martin and A. Pluhár: Graph clustering via generalized colorings Theoretical Computer Science Vol. 918 ,94-104, 2022
E. Kuruczleki, A. London, A. Pelle and M. Vegh: The various European capitalism models: Convergence and growth in the 2014–2019 inter-crisis period Acta Oeconomica 72(4): 413-436, 2022
I. Gera and A. London: Hierarchikus klaszterezés és a portfólió-kiválasztás probléma Szigma LIII.(2022) 1. 73-88, 2022
A. Pelle, A. London and E. Kuruczleki: The European Union: A dynamic complex system of clubs comprised by countries performing a variety of capitalism Forum for Social Economics 50:4, 530-552, 2021
O. Kardos, A. London and T. Vinkó: Stability of network centrality measures: a numerical study Social Network Analysis and Mining 10, 80, 2020
I. Gera and A. London: Gráf alapú dimenzióredukciós heurisztikák részvénypiaci korrelációs mátrixokra (in Hungarian) Alkalmazott Matematikai Lapok 37(2): 1-14, 2020
A. London and A. Pluhár: Spanning tree game as Prim would have played (in memoriam Csanád Imreh) Acta Cybernetica 23(3): 921-927, 2018
A. London, I. Gera and B. Banhelyi: Testing portfolio selection models using various estimators of expected returns and filtering techniques for correlation matrices (in memoriam András Prékopa) Acta Polytechnica Hungarica 15(1): 217-229, 2018
L. Győrffy, A. London and G. Makai: The structure of pairing strategies for k-in-a-row type games Acta Cybernetica 23(2):561-572, 2017.
C. Bongiorno, A. London, S. Miccichè and R.N. Mantegna: Core of communities in bipartite networks Physical Review E 96(2):022321, 2017 arXiv:1704.01524
A. Merza, A. London, I.M. Kiss, A. Pelle, J. Dombi and T. Németh: A világkereskedelem hálózatelméleti vizsgálatának lehetőségeiről Közgazdasági szemle (Economic Review), LXIII. évf., 2016. január (79-98. o.)
A. London, T. Németh, A. Pluhár and T. Csendes: A local PageRank algorithm for evaluating the importance of scientific articles Annales Mathematicae et Informaticae, 44: 131-140, 2015
A. London, J. Németh, T. Németh and A. Pelyhe: A new model for the linear 1-dimensional online clustering problem Acta Univestitatis Sapientia, Informatica,6(2): 163-177, 2014
A. London, J. Németh and T. Németh: Time-dependent network algorithm for ranking in sports Acta Cybernetica, 21(3): 495-506, 2014
P. Csermely, A. Mihalik, Zs. Vassy and A. London: Crisis Responses and Crisis Management: what can we learn from Biological Networks? Systema, 2(1):23-27, 2014
P. Csermely, A. London, L-Y. Wu and B. Uzzi: Structure and dynamics of core-periphery networks. Journal of Complex Networks, 1(2):93-123, 2013

Papers in conference proceedings

P. Kardos, A. London, R. Farkas Human-in-the-loop Entity Set Expansion using Knowledge Graphs Proc. of 1st International Workshop on Explainable AI and Knowledge Graphs (XAI+KG), 2025, Vol-3977/XAIKG-4
L. Hajdu, A. London and A. Pluhár: A network clustering method based on intersection of random spanning trees Proc. of FedCSIS 2024 2024, Vol. 39, pp 609–614
A. London and A. Pluhár: Intersection of random spanning trees in small-world networks Proc. of 11th International Conference on Complex Networks and their Applications, (Springer) 2023, Vol. 2. pp. 337–345
I. Gera, A. London and A. Pluhár: Greedy algorithm for edge-based nested community detection Proc. of 2nd Conference on Information Technology and Data Science, CITDS (IEEE) 2022, pp. 86-91
O. Kardos, A. London and T. Vinkó: A simulator to study the stability of network centrality measure Proceedings of the MATCOS 2019, pp. 51-54
I. Gera and A. London: Portfolio selection based on a configuration model and hierarchical clustering for asset graphs Proceedings of the MATCOS 2019, pp. 39-42
A. London, M. Krész and J. Németh: A Graph-based prediction model with applications Proceedings of the 21st IS 2018, Volume C, 49-53, 2018
L. Győrffy, A. London and G. Makay: A Graph to the pairing strategies of the 9-in-a-row game Proceedings of the MATCOS 2016, pp. 32-35
I. Gera, B. Banhelyi and A. London: Testing the Markowitz portfolio optimization method with filtered correlation matrices Proceedings of the MATCOS 2016, pp. 44-47
A. Haznagy, I. Fi, A. London and T. Németh: Complex network analysis of public transportation networks: a comprehensive study Proceedings of the 4th International Conference on Models and Technologies for Intelligent Transportation Systems (IEEE), 2015, pp. 371-378
A. London, A. Pelyhe, Cs. Holló, T. Németh: Applying graph-based concepts to the educational sphere Proceedings of the 16th International Conference on Computer Systems and Technologies (ACM), 2015, pp. 358-365
A. London and T. Németh: Student evaluation by graph based data mining of administrational systems of education Proceedings of the 15th International Conference on Computer Systems and Technologies (ACM), 2014, pp. 363-369
A. London and T. Csendes: HITS based network algorithm for evaluating the professional skills of wine tasters. Proceedings of the 8th International Symposium on Applied Computational Intelligence and Informatics (IEEE), 2013, pp. 197-200
T. Berger-Wolf, D.I. Diochonos, R.H. Sloan, A. London, A. Pluhár and Gy. Turán: Commonsense knowledge bases and network analysis. Proceedings of the 11th International Symposium on Logical Formalizations of Commonsense Reasoning, 2013

Other publications

É. Voszka, M. Végh, A. London Támogatási nagyüzem – az egyedi kormánydöntések példája Közgazdasági szemle, LXX. évf., 2023. December (1297–1337. o.) 2023
A. London, A. Pluhár Hálózati inverz fertőzési modellek a járványterjedés vizsgálatában elitMed iLAM/COVID-19 2020
A. London, J. Zsibrita, R. Fear A Knowledge-graph based Taxonomy Construction Method [extended abstract] and poster In: Book of abstracts of the 8th International Conference on Complex Networks and their Applications 2019
É. Kuruczleki, A. London and A. Pelle A: Klubjavak, konvergencia és komplexitás az Európai Unióban In: Kovács, Péter (szerk.): Ünnepi kötet Dr. Katona Tamás egyetemi tanár 70. születésnapjára, SZTE Állam- és Jogtudományi Kar, pp. 41-60. 2018
R. Laczi, A. London, A. Pelle, M.Z. Végh: Várakozások és innováció az Európai Unióban: összefüggések, folyamatok, hatások in I. Lengyel – B. Nagy (szerk.): Térségek versenyképessége, intelligens szakosodása és újraiparosodása, JATEPress, Szeged, 79-102. o., 2016
A. London, A Pelle: Wolfram Elsner-Torsten Heinrich-Henning Schwardt: The Microeconomics of Complex Economies. Evolutionary, Institutional, Neoclassical, and Complexity Perspectives (Elsevier, Amszterdam, 2014, 566 oldal) Közgazdasági szemle (Economic Review), LXIII. évf., 2016. március (350-354. o.) -- Könyvismertetés
B. Demeter, A. London, T. Németh: Teaching the basics of complex networks and simple data mining techniques Web application (under development) available here, 2015
A. London, G. Simkó, Á. Mihalik, K. Kubina, M. Stippinger, S. Wang and P. Csermely: Changes of exploitation and exploration with network position and during crisis. Abstracts of the European Meetings on Cybernetics and Systems Research, 2012

Previously: Seminar series on Data science and Complex network analysis